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Understanding Resilience in UNRWA Health Response to the Syrian Crisis: Lessons from Causal Loop Analysis

dc.contributor.authorAger, Alastair
dc.contributor.authorDiaconu, Karin
dc.contributor.authorJamal, Zeina
dc.contributor.authorAlameddine, Mohamad
dc.contributor.authorFouad, Fouad M.
dc.contributor.authorWitter, Sophie
dc.contributor.editorBlanchet, Karl
dc.date.accessioned2025-09-11T06:59:15Z
dc.date.issued2025
dc.descriptionAlastair Ager - ORCID: 0000-0002-9474-3563 https://orcid.org/0000-0002-9474-3563
dc.descriptionKarin Diaconu - ORCID: 0000-0002-5810-9725 https://orcid.org/0000-0002-5810-9725
dc.descriptionSophie Witter - ORCID: 0000-0002-7656-6188 https://orcid.org/0000-0002-7656-6188
dc.description.abstract1. Group model building gathers key stakeholders together to develop causal loop analysis of health system responses to experienced shocks. 2. Causal loop analysis can identify important resources and strategies supporting health system resilience. 3. Evidence of absorptive, adaptive, and transformative resilience capacities was demonstrated in UNRWA health response to the Syria crisis across Jordan, Lebanon, and Syria. 4. Analysis highlights the importance of collateral pathways and redundancy; flexible governance and leadership practices; and an organizational culture that sees challenge as an opportunity for learning and innovation. 5. Such evidence has implications for other health systems seeking to integrate provision of services to refugee populations, as well as for UNRWA itself operating in a context of political instability.
dc.description.ispublishedpub
dc.description.statuspub
dc.description.urihttps://doi.org/10.7551/mitpress/14871.003.0012
dc.identifier.citationAger, A., Diaconu, K., Jamal, Z., Alameddine, M., Fouad , F.M. and Witter, S. (2025) ‘Understanding Resilience in UNRWA Health Response to the Syrian Crisis: Lessons from Causal Loop Analysis’, in K. Blanchet (ed.) Health system resilience: understanding complex adaptive systems. Cambridge, Massachusetts: The MIT Press. Available at: https://doi.org/10.7551/mitpress/14871.003.0012.
dc.identifier.isbn9780262381390
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/14396
dc.identifier.urihttps://doi.org/10.7551/mitpress/14871.003.0012
dc.language.isoen
dc.publisherMIT Press
dc.relation.ispartofHealth System Resilience: Understanding Complex Adaptive Systems
dc.rights© 2025 Massachusetts Institute of Technology This work is subject to a Creative Commons CC-BY-NC-ND license. This license applies only to the work in full and not to any components included with permission. Subject to such license, all rights are reserved. No part of this book may be used to train artificial intelligence systems without permission in writing from the MIT Press.
dc.rights.licenseCC BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.titleUnderstanding Resilience in UNRWA Health Response to the Syrian Crisis: Lessons from Causal Loop Analysis
dc.typeBook chapter
dcterms.accessRightspublic
qmu.authorAger, Alastair
qmu.authorDiaconu, Karin
qmu.authorWitter, Sophie
qmu.centreInstitute for Global Health and Development
refterms.dateDeposit2025-09-11
rioxxterms.typeBook chapter

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